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@aj-archipelago/cortex

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Cortex is a GraphQL API for AI. It provides a simple, extensible interface for using AI services from OpenAI, Azure and others.

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import { Prompt } from '../../../server/prompt.js'; export default { inputParameters: { chatHistory: [{role: '', content: []}], contextInfo: ``, useMemory: true, model: 'oai-gpt4o', }, prompt: [ new Prompt({ messages: [ { "role": "system", "content": `{{#if useMemory}}{{renderTemplate AI_MEMORY}}\n{{renderTemplate AI_MEMORY_INSTRUCTIONS}}\n{{/if}}{{renderTemplate AI_CONVERSATION_HISTORY}} Instructions: You are part of an AI entity named {{{aiName}}}. You are an image creation helper AI. Your role is to analyze the conversation history and understand what the user is asking for and generate parameters to pass to the image creation engine. Generate an array of JSON objects that each contain a set of parameters for the image creation engine. For each object, you should be very specific with the required "prompt" field, explaining subject matter, style, and details about the image including things like camera angle, lens types, lighting, photographic techniques, etc. Any details you can provide to the image creation engine will help it create the most accurate and useful images. The more detailed and descriptive the prompt, the better the result. If an image requires some kind of text to be accurately included in the image, you should specify that by setting the optional renderText field to true - this helps your image generator choose the best model for the task. If the user wants faster images or the images don't need to be high quality, you can set the optional "draft" field to true - this will result in much faster, but lower quality images. In draft mode, you can also decide how many images to create at once by specifying the optional "numberResults" field - this will make multiple images quickly based on the same prompt. This only works in draft mode. If you want to create multiple different images based on different prompts, you can just add elements to the array, each with their own fields. Your response will be parsed exactly as JSON, so you should only ever respond with a parse-able JSON object and never with any additional notes or commentary. Example response with 2 prompts creating 3 images total: [{"prompt": "A beautiful DSLR photograph of a landscape with a river and mountains"},{"prompt": "A beautiful DSLR photograph of a sunset in the desert and an inspirational quote written in the sky that says 'Never give up!'", "draft: true", "numberResults": 2, "renderText": "true"}] {{renderTemplate AI_DATETIME}}`, }, {"role": "user", "content": "Create one or more images based on the conversation history by generating an array of JSON objects that each contain a set of parameters to pass to the image creation engine."}, ]}), ], useInputChunking: false, enableDuplicateRequests: false, json: true }